Where was the JG13T number plate registered?

Vehicles with the JG13T prefix were first registered in the UK through official DVLA regional allocation tag JG.

What year was a JG13T registration plate released?

The JG13T series was issued during March 2013 to August 2013.

What is the MOT pass rate for JG13T vehicles?

Vehicles in the JG13T cohort demonstrate an average historical MOT pass rate of 80% based on 5 recorded DVSA inspections.

Batch Prefix Hub

JG13T Series Number Plates

UK vehicles during March 2013 to August 2013 with registration prefix JG13T.

Area Office: DVLA Region (JG)
Release Period: March 2013 to August 2013
Tracked in Batch: 2 vehicles
MOT Pass Rate: 80%

Popular Makes

BMW 50% (1)

MERCEDES-BENZ 50% (1)

80%

Average MOT Pass Rate

Based on 5 historical tests

Common Colors

White2 vehicles

Active Plates in JG13T Series(2 of 2 displayed)

Filter by 6th Letter:

JG13TOW

MOT Valid

MERCEDES-BENZ SPRINTER

2.1L · Diesel · White

First Used: Nov 2019
MOT Expiry: 27 Sep 2026
Tax Status: —
Color: White

Check History & Specs

JG13TRY

MOT Valid

BMW 3 SERIES

2.0L · Diesel · White

First Used: Mar 2019
MOT Expiry: 14 Mar 2027
Tax Status: —
Color: White

Check History & Specs

Reliability & Common Problem Guides for JG13T Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

BMW Common Problems MERCEDES-BENZ Common Problems

Frequently Asked Questions about JG13T Plates

Where was the JG13T number plate series registered?

Vehicles starting with JG13T were assigned to the DVLA regional office covering the UK. The first two letters (JG) identify the memory tag assigned by the DVLA.

What registration period is JG13T?

The JG13T age identifier corresponds to vehicles first registered between March 2013 to August 2013.

How can I check the MOT history of a JG13T vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.